Process Mining Engineer

Whitefield Careers; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Whitefield Careers is looking for a Process Mining Engineer in Bengaluru, Karnataka, to design and implement process intelligence solutions using Celonis. This role focuses on analyzing business processes and developing actionable insights for optimization.

The ideal candidate should have a Bachelor's degree in a related field and 3 to 6 years of experience in Process Mining. The position involves collaboration with stakeholders to enhance enterprise-scale data-driven initiatives.

Qualifications

• 3 to 6 years of total experience in Process Mining, with 1+ years in Celonis preferred.
• Strong hands-on experience with process mining tools and SQL skills.
• Knowledge of event logs, conformance checking, and automation tools.

Responsibilities

• Design and develop end-to-end process mining solutions using Celonis.
• Build and optimize data models for large-scale enterprise datasets.
• Analyze business processes to identify inefficiencies.

Skills

Celonis EMS

PQL (Process Query Language)

Data modeling

ETL processes

SQL

Business process frameworks

Integrating data from ERP systems

Process mining concepts

Automation tools

Education

Bachelor’s degree in computer science or related field

Tools

Celonis

Power BI

Tableau

Databricks

Azure

Job description

JOB DESCRIPTION: Process Mining Engineer

Engineer Responsibilities

• We are seeking a Process Mining Engineer to design and implement process intelligence solutions using Celonis for enterprise‑scale business transformation initiatives. This role requires expertise in analyzing complex business processes, building data models, and developing actionable insights using process mining techniques.
• You will work closely with business stakeholders, data engineers, and IT teams to deliver data‑driven process optimization solutions across domains such as supply chain, finance, and operations.

Responsibilities & Accountabilities

• Design and develop end‑to‑end process mining solutions using Celonis EMS platform
• Build and optimize data models (PQL, Data Model Editor) for large‑scale enterprise datasets
• Extract, transform, and load (ETL) data from multiple source systems (SAP, Oracle, SQL, etc.)
• Analyze business processes to identify bottlenecks, inefficiencies, and root causes
• Develop interactive dashboards, KPIs, and analytical views in Celonis Studio
• Implement process conformance checks and deviation analysis
• Design and deploy action flows, alerts, and automation use cases
• Collaborate with business stakeholders to translate requirements into process mining use cases
• Ensure data quality, governance, and consistency across process models
• Integrate Celonis with external systems (APIs, Power BI, etc.) for extended analytics
• Optimize performance of data pipelines and dashboards
• Document process models, KPIs, and implementation architecture
• Participate in code reviews, best practices, and knowledge sharing sessions
• Drive project delivery with ownership of quality, timelines, and innovation

Degree and Qualification

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field
• 3 to 6 years of total experience in Process Mining (1+ years in Celonis preferred)

Must Technical Skills

• Strong hands‑on experience with Celonis EMS / Process Mining tools
• Expertise in PQL (Process Query Language)
• Experience in data modeling and ETL processes
• Strong SQL skills and experience working with large datasets
• Knowledge of business process frameworks (Order‑to‑Cash, Procure‑to‑Pay, etc.)
• Experience integrating data from ERP systems
• Understanding of process mining concepts (event logs, variants, conformance checking)
• Familiarity with automation/workflow tools within Celonis
• Experience with APIs and data connectors
• Strong version control and documentation practices

Must‑Have

• Hands‑on experience in Celonis implementation projects (end‑to‑end)
• Strong experience in data modeling and process analysis in production environments

Domain Skills (Optional)

• Automotive / Manufacturing / Supply Chain domain knowledge
• Experience in Databricks
• Experience in Azure
• Exposure to tools like Power BI or Tableau for extended reporting